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Telecom agent

telecom
DestructiveIdempotent

Compare connectivity needs, carrier options, SLAs, roaming, contract constraints, and switching cost.

Input Schema

NameRequiredDescriptionDefault
inputsYesOriginal buyer inputs. Service-specific CSV/date/rubric validation and a combined 75,000-character limit also apply.
sourceFieldsNo
sourceRunIdsNo
idempotencyKeyYesStable caller key for exactly one logical service request.
paymentInvoiceIdNoA separate confirmed service invoice when payment is required.
consentExternalProcessingYesExplicit authorization to send these sources and prior-agent context to the selected inference provider.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already flag destructiveHint=true, openWorldHint=true, and idempotentHint=true, so the safety bar is lower, but the description adds nothing about what external processing occurs, what the required consent flag authorizes, that this is a paid/consuming inference call, or what side effects 'destructive' refers to. For a destructive, open-world tool nothing beyond topic keywords is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short and front-loads the domain, so there is no waste, but its brevity reflects under-specification rather than tight writing — it spends its one clause enumerating topics instead of stating purpose or usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex tool with a nested 4-field inputs object, 6 parameters, consent gating, source-reuse options, and no output schema, one topic sentence is far from sufficient. An agent cannot tell what the return value looks like, what evidence is required, or what 'destructive' implies here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67%, and the description contributes zero parameter guidance. Notably the non-obvious parameters — sourceFields/sourceRunIds (reusing output from prior runs) and consentExternalProcessing — are unexplained in the description and only partially documented in the schema, which is a meaningful gap for an agent trying to construct a valid call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description lists a range of telecom comparison topics (carrier options, SLAs, roaming, switching cost), which does convey the subject domain of the agent. However, the verb 'Compare' is ambiguous about what the tool actually produces (a report? a scored recommendation?), and nothing in the sentence distinguishes it from category siblings like it-hardware, it-software, or contracts beyond the noun 'telecom'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to call this tool versus the many siblings (negotiation, contracts, procurement_workflow__renewal_to_negotiation, xrenew-radar), nor any prerequisite context. The agent is left to infer that 'telecom category work' is the trigger.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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